Update README.md

README.md

@@ -29,10 +29,10 @@ Each object is simulated under 20 distinct conditions: 4 random wind speeds rang
 (0°, 180° and 3 random angles).
 The meshes for these automobile-like objects were generated using the Instant Mesh model on images sourced from the Stanford Cars Dataset. 
 To ensure stable and reliable results, each simulation runs for 300 iterations.
-The entire dataset of 20,000 simulations is organized into three subsets: 70% for training, 20% for validation, and 10% for testing.
+The entire dataset of 19,812 simulations is organized into three subsets: 70% for training, 20% for validation, and 10% for testing.
 
 The data generation process itself was orchestrated using the [Inductiva API](https://inductiva.ai/), 
-which allowed us to run hundreds of OpenFOAM simulations in parallel on the cloud. 
+which allowed us to run hundreds of OpenFOAM simulations in parallel on the cloud.
 
 
 # Motivation
@@ -229,7 +229,7 @@ This file contains metadata related to the simulation, including input parameter
 ### Dataset Statistics
 
 The dataset comprises 19,812 valid samples out of a total of 20,000 simulations, with [188 submissions failing](https://huggingface.co/datasets/inductiva/windtunnel/resolve/main/failed_tasks.txt) due to numerical errors in OpenFOAM. 
-The complete dataset requires about 300 GB of storage.
+The complete dataset requires about 300 GB of storage, however, it is possible to download only a fraction of the dataset.
 
 
 ## Downloading the Dataset: